Triple
T5057048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Milne Calder |
E113926
|
entity |
| Predicate | numberOfWorksAtPhiladelphiaCityHall |
P6221
|
FINISHED |
| Object | more than 250 sculptures |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: more than 250 sculptures | Statement: [Alexander Milne Calder, numberOfWorksAtPhiladelphiaCityHall, more than 250 sculptures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorksAtPhiladelphiaCityHall Context triple: [Alexander Milne Calder, numberOfWorksAtPhiladelphiaCityHall, more than 250 sculptures]
-
A.
cityHallOf
Indicates that one entity serves as the official city hall building or administrative center for the specified city.
-
B.
hasCityHall
Indicates that a location or administrative area possesses or is served by a specific city hall building or institution.
-
C.
numberOfWorks
chosen
Indicates the total count of works associated with a given entity.
-
D.
numberOfSculptures
Indicates the quantity of sculptures associated with a given entity or context.
-
E.
numberOfStainedGlassPanels
Indicates the count of stained glass panels associated with a given entity or object.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7450312881908d4e3576ca65f7fb |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.